Skill UI

This comprehensive guide provides a detailed methodology for detecting and exploiting Server-Side Request Forgery (SSRF) vulnerabilities. It covers basic, blind, and out-of-band techniques, including testing against cloud metadata endpoints (AWS/GCP/Azure) and advanced bypass methods like DNS rebinding. It is an essential resource for web application security testing and bug bounty hunting.

A structured guide for setting up a robust local development environment for Palantir Foundry data pipelines. This workflow enables users to run Python transforms and unit tests using PySpark against sample data, and mock the Foundry API client, ensuring fast, isolated iteration cycles before deploying code to the official Foundry environment. Ideal for data engineers and developers building complex ETL logic.

This skill guides the setup of Continuous Integration and Continuous Deployment (CI/CD) pipelines for Salesforce projects using GitHub Actions. It covers automated metadata deployment, rigorous Apex unit testing, and integration testing, ensuring code quality and stability before every release. Key steps include configuring JWT authentication, setting up GitHub Secrets, and defining multi-stage workflows to validate and deploy changes across environments.

This skill provides minimal working examples for connecting to Salesforce, executing SOQL queries, and performing full CRUD (Create, Read, Update, Delete) operations on standard sObjects. Examples are provided in both TypeScript and Python. It is ideal for initial Salesforce integration testing, learning core API patterns, or performing basic data manipulation in a Salesforce environment.

This guide provides a minimal, working example of connecting to a Shopify store using the GraphQL Admin API. It demonstrates how to initialize the API client, authenticate the connection, and execute a query to retrieve product and variant details. Ideal for developers starting a new e-commerce integration, testing API connectivity, or learning basic Shopify data retrieval patterns.

This comprehensive benchmark suite evaluates the performance of Vision-Language Models (VLM) on complex video anomaly detection tasks using the SmartHome-Bench dataset. It covers a wide range of real-world smart home scenarios, including security breaches, elderly fall detection, and unusual pet behavior. Unlike single-frame analysis, this benchmark requires deep multi-frame video understanding, making it a robust tool for testing the advanced AI capabilities of video monitoring systems.

This comprehensive guide demonstrates how to establish a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline for Snowflake data warehousing. It integrates SchemaChange for managing version-controlled database migrations, GitHub Actions for automated testing and deployment triggering, and Terraform for provisioning and managing underlying Snowflake infrastructure (databases, warehouses, roles). Use this when setting up reliable, repeatable, and automated deployment workflows.

This guide provides minimal working examples for connecting to Snowflake and executing core SQL operations. It comprehensively covers connection setup, running simple SELECT queries, creating databases and tables, and performing parameterized inserts using both Python and Node.js. It is ideal for initial environment setup, testing the Snowflake SDK, or learning fundamental data warehouse interactions.

This guide provides a comprehensive methodology for load testing and capacity planning within Snowflake data warehouses. It covers optimizing query performance by adjusting warehouse sizes (Scale UP), simulating high concurrency using multi-threading (Scale OUT), and configuring advanced scaling policies (Standard, Economy, Maximized). Users can benchmark critical queries using SQL and simulate real-world user traffic using Python, ensuring robust and cost-efficient production environments.

This comprehensive guide teaches how to use httpYac in VSCode to convert API documentation (like Swagger or Postman collections) into robust, executable .http files. It provides advanced workflow guidance for implementing complex authentication schemes (OAuth2, Bearer), managing multi-environment configurations, chaining requests using response data, and integrating testing workflows with CI/CD pipelines for professional-grade API automation.

A comprehensive guide to setting up continuous integration and continuous deployment (CI/CD) pipelines for Webflow Data API v2 integrations using GitHub Actions. This setup automates unit testing (mocked SDK), robust integration testing with real API tokens, CMS schema validation, and reliable publish-on-merge workflows, ensuring code quality and consistency in your Webflow projects.

This script provides a minimal working example for interacting with the Webflow Data API v2. It demonstrates the core operations, including listing sites, reading CMS collections, fetching existing CMS items (draft/live), and creating new content. Use this guide when starting a new Webflow integration or testing your basic API setup.